Remote Forward Deployed ML Engineer

Summary

Join Baseten as a Forward-Deployed Engineer and partner with customers to engineer ML solutions using the open-source Truss system. This role provides a unique front-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale.

Requirements

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field
• 3+ years of work professional work experience in a fast-paced, high-growth environment
• Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python
• Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment
• Strong communication skills, particularly on complex technical topics

Responsibilities

• Develop and maintain software systems using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects
• Collaborate with cross-functional teams to understand and implement AI/ML pipelines, including the lifecycle of ML model development and deployment
• Communicate effectively on complex technical topics, ensuring clarity and understanding across different stakeholders
• Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack
• Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution
• Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity
• Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates

Benefits

• Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)
• A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era
• An inclusive and supportive work culture that fosters learning and growth
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities